Motion-blurred skater in a Pittsburgh Penguins sweater
Breakdown · PIT at SEA

Penguins pull away from the Kraken

The verdict · earned

The Penguins earned it — the game and the expected-goals battle both.

PIT 6 · SEA 3
◆ By the ModelJul 12, 1:48 AMxG: xgboost-0.758Edited for clarityDrafted from NHL play-by-play by Backcheck's model, worded for clarity by an AI editor that may not change a number. Nobody at Backcheck was at the rink. How this works

Pittsburgh's 6-3 victory masked a much tighter game underneath. Expected goals split 3.64–4.08 in the Penguins' favor—a 53-47 edge that barely qualifies as dominant, yet the scoreboard read like a rout.

The Penguins manufactured their three-goal margin through elite efficiency. They overperformed their xG by 1.92 goals, converting four low-danger chances that most goalies stop. Pittsburgh was lethal off the rush, scoring three times on 29 rush attempts. They crashed the net aggressively, creating seven rebound opportunities—patient execution even if none converted.

Seattle's problem was goaltending variance working in the opposite direction. S. Skinner stopped 20 of 23 shots (0.870 SV%) and outperformed his expected mark by 0.64 goals. J. Daccord faced 31 shots, saved 26 (0.839 SV%), and underperformed expectations by 0.92. The Kraken held 42 percent of shot attempts and created high-danger chances at a near-even clip (4–5), but couldn't execute when it mattered.

Seattle's issue wasn't territory or structure—it was precision in the offensive zone and timely saves at the other end. The underlying metrics suggested a competitive game. The final score told a different story.

The breakdown in twelve frames

Swipe it

Every number is from this page
Final · Jan 19
PIT
6
SEA
3

Penguins pull away from the Kraken

Chances 4.1 – 3.6Did they deserve it? →
Did they deserve it?

The Penguins earned this one.

Expected goals · chance value
PIT
4.08
SEA
3.64
53% of the chances47%

The board read PIT 6, SEA 3. The chances read PIT 4.1, SEA 3.6.

Our xG model · NHL play-by-play · all situations
Luck check
PIT
+1.9
goals above expected
PIT4.08 expected · 6 scored
Expected
Scored
SEA3.64 expected · 3 scored
Expected
Scored

The Penguins scored 1.9 more than their chances were worth. That does not repeat.

PDO = sh% + sv% · drifts to 1.000 over a season
Every goal, in order
  1. P1 05:44PITP. Wotherspoon1–0
  2. P1 07:50PITC. DewarSH2–0
  3. P1 16:12SEAB. Meyers2–1
  4. P2 13:55SEAR. Lindgren2–2
  5. P2 14:45PITB. Kulak3–2
  6. P3 02:21PITJ. Brazeau4–2
  7. P3 07:47SEAE. TolvanenPP4–3
+2 more on the full breakdown
NHL play-by-play · chance value from our xG model
Where the shots came from
PIT
49 shots
6
Final
87 shots
SEA
38 shots
3
PIT attackSEA attack
PIT SEA Goal
49
shots · 6 in
38
shots · 3 in
Every unblocked shot · press play to replay it
Chances by danger
PITSEA
1 / 5
1.53 xG
High danger
1 / 4
1.16 xG
1 / 13
1.64 xG
Medium
2 / 16
1.89 xG
4 / 47
0.91 xG
Low
0 / 28
0.60 xG

High-danger looks: PIT 1 of 5, SEA 1 of 4.

Danger tiers by our xG model · high ≥ 20% chance
In the net
B
S. Skinner
+0.6
PIT · 20/23
D-
J. Daccord
−0.9
SEA · 26/31
The numbers, checked
BACKCHECK

Penguins pull away from the Kraken

A model, not a newsroom. Every number on these frames comes from the NHL's play-by-play and our own models. Nothing was watched, guessed or heard from anyone.

Read the full breakdown
backcheckreport.com
01 / 08 · Final
Every goal, in order

How it happened

NHL play-by-play
1stshots 7–6
  1. 05:44PITP. Wotherspoon(B. Lizotte, A. Mantha)1–0
  2. 07:50PITC. Dewarshorthanded2–0
  3. 16:12SEAB. Meyers(J. Schwartz, R. Winterton)2–1
2ndshots 15–8
  1. 13:55SEAR. Lindgren(R. Winterton, B. Meyers)2–2
  2. 14:45PITB. Kulak(S. Crosby)3–2
3rdshots 10–9
  1. 02:21PITJ. Brazeau(A. Mantha, C. Clifton)4–2
  2. 07:47SEAE. Tolvanenpower play(B. Montour, S. Wright)4–3
  3. 16:48PITR. Rakell(S. Crosby)5–3
  4. 19:30PITC. Dewarempty net(B. Lizotte)6–3

score reads PIT–SEA

Source · NHL play-by-play (api-web.nhle.com)
Process vs result

The numbers

XGBoost xG · NHL play-by-play
4.08
PIT chances
Goals their shots were worth
+1.9
Finishing
Goals above what those chances were worth
1.030
PIT puck luck
Above 1.000 — the bounces went their way
57.5%
Shot attempts
Over half — they had the puck more
Split by club

Who controlled the game

4.08Expected goals3.64
PIT 53% of the chance quality
32Shots on goal23
5High-danger chances4
65All attempts (Corsi)48
Adjusted for score: PIT 53% · SEA 47%
Faceoffs · SEA won53%off33%neu47%def
Source · NHL play-by-play · XGBoost xG
How the game was won

The danger ladder

shotsgoalsexpected
High dangerslot & crease
PIT1 / 5 · 1.53 xG
SEA1 / 4 · 1.16 xG
Medium dangermid-range
PIT1 / 13 · 1.64 xG
SEA2 / 16 · 1.89 xG
Low dangerperimeter & point
PIT4 / 47 · 0.91 xG
SEA0 / 28 · 0.60 xG

PIT went 4-for-47 from low danger on 0.91 expected goals — 3.1 above expected.

Source · Backcheck xG model · NHL play-by-play
The luck layer

Finishing vs expected

expectedactual
PIT
6 G · 4.08 xG · +1.9
SEA
3 G · 3.64 xG · -0.6
01234567

PIT finished +1.9 against expected, SEA -0.6.

Source · Backcheck xG model
Shot types · rush and rebound chancesopen +
What they shot — and what went in

Shot diet

goalsshots
PIT
WRIST5/28
SNAP0/8
TIP IN0/4
SLAP1/4
BACKHAND0/4
WRAP AROUND0/1
DEFLECTED0/0
OTHER0/16
SEA
WRIST1/24
SNAP1/5
TIP IN0/4
SLAP1/3
BACKHAND0/1
WRAP AROUND0/0
DEFLECTED0/1
OTHER0/10
PIT
SEA
Off the rush
3 G on 29
1.79 xG
1 G on 24
2.61 xG
Off rebounds
0 G on 7
1.26 xG
1 G on 2
0.39 xG

Wrist shots carried the volume: PIT went 5-for-28, SEA 1-for-24. PIT scored 3 of theirs off the rush.

Source · Backcheck xG model · NHL shot types
New to these numbers?

Two things happened in this game: who created the better chances, and who put the puck in the net. They are not the same thing, and this page separates them on purpose.

The one to watch is expected goals— the best single read on who deserved to win. When it disagrees with the scoreboard, that disagreement is usually the story. Nothing here is a projection; every figure is computed from this game's play-by-play. Full glossary →

xG
Expected goals. Every shot scored by how often that exact look goes in. 2.5 xG means the chances were worth about two and a half goals.
HD
High-danger chances — shots from the slot and the crease, where shots actually become goals.
Corsi
Every shot attempt, including the ones that missed or got blocked. A rough read on who had the puck.
Adj.
Score-adjusted. Teams that trail shoot more and teams that lead sit back, so this corrects the attempt count for the scoreboard.
GSAx
Goals saved above expected. A positive number means the goalie stopped more than an average goalie would have on those shots.
PDO
Shooting % plus save % — a luck gauge. It sits near 1.000 over a season, so a game far from it usually means the bounces decided it.
Shot by shot

In the net

Graded on goals saved above expected
S. Skinner
PIT · 20/23 · .870
+0.6
saved above expected
B
the night
By dangerG/attxGsaved
High danger1/41.2+0.2
Medium2/161.9-0.1
Low0/280.6+0.6

A+ ≥ +2.5 saved above expected · A ≥ +1.5 · B+ ≥ +0.75 · B ≥ +0.25 · C ≥ −0.25 · D ≥ −0.75 · F below −1.5

J. Daccord
SEA · 26/31 · .839
-0.9
saved above expected
D-
the night
By dangerG/attxGsaved
High danger1/51.5+0.5
Medium1/131.6+0.6
Low4/470.9-3.1

A+ ≥ +2.5 saved above expected · A ≥ +1.5 · B+ ≥ +0.75 · B ≥ +0.25 · C ≥ −0.25 · D ≥ −0.75 · F below −1.5

87 shots · press play to watch the game back

Where the shots came from

NHL play-by-play coordinates
PIT
49 shots
6
Final
87 shots
SEA
38 shots
3
PIT attackSEA attack
PIT SEA Goal

Each club shoots toward its own end — PIT left, SEA right — the way you would watch it. A dot's size is how dangerous the look was, from distance and angle; it is a proxy for shot quality, not the xG model the article is written from. Hover a dot for the shooter and the clock.

Ranked from the box score

Three stars

Points first
Three stars · computed, not voted
S. Crosby
#87 · C · PIT
0 G · 2 A · 2 SOG · 18:04 on ice · +2
A. Mantha
#39 · R · PIT
0 G · 2 A · 3 SOG · 13:47 on ice
B. Meyers
#59 · C · SEA
1 G · 1 A · 2 SOG · 13:01 on ice · +2
Ranked from the box score — points first · Backcheck
What the model said beforehand

Before the game

Written Mon, Jan 19
Open the pre-game read
Written from the numbers

The read

Edited for clarity
◆ By the ModelJul 12, 1:46 AMEdited for clarityDrafted from NHL play-by-play by Backcheck's model, worded for clarity by an AI editor that may not change a number. Nobody at Backcheck was at the rink. How this works

The projection is Pittsburgh at 2.6 expected goals, Seattle at 2.5—Penguins 52% to win. This is as close to even as hockey models get.

The Penguins own the underlying play. They're generating 51.0% of 5v5 expected goals and controlling 50.0% of shot attempts. That's territorial dominance; the Kraken, at 46.0% xG and 45.0% Corsi, are being outshotted and out-chanced.

But the teams' PDO tells a different story. Pittsburgh sits at 1.012, Seattle at 1.011—statistically indistinguishable. This uniformity suggests parity in finishing and goaltending luck. Pittsburgh's edge in possession doesn't translate to a large edge in goals, meaning a team trailing in underlying metrics could steal it. Add A. Silovs playing on back-to-back rest, and Seattle's goaltending is a variable worth watching.

For Pittsburgh, Rickard Rakell is the engine: 1.01 xG per 60 minutes, 13 goals and 13 assists, converting at 12.1%—well above league average. He's consistently touching the puck in dangerous spots. Filip Hallander (1.28 xG/60) is likely unavailable; he's been recalled from conditioning with the AHL Penguins for further evaluation and testing, removing Pittsburgh's highest-volume threat.

Seattle counters with Shane Wright and Berkly Catton. Wright is generating 0.77 xG per 60 with eight goals and four high-danger chances; Catton, at 0.68 xG/60, has six goals and leads the pair with five high-danger finishes. Both are shooting modestly—Wright at 10.4%, Catton at 8.8%—which means upside if one heats up.

The defensive vulnerabilities are modest but real. Caleb Jones anchors Pittsburgh's backend; Chandler Stephenson does the same for Seattle. Neither is typically a liability, but a possession-dominant team often finds ways to exploit the weaker link.

Pittsburgh should control this game. It owns the underlying play at 5v5, and the model's 52% edge reflects that. But the nearly identical PDO and Silovs' rest concerns are legitimate. The Penguins get the slight edge, not more.

What the model said beforehand

The model's lean

PIT 52%
52%
PIT
Model favorite
52%
48%
PIT50SEA

PIT by 4 points of win probability — effectively a coin flip. Projected score PIT 2.6–2.5 SEA; 18% chance it's tied after 60.

Source · Backcheck Poisson projection · season scoring rates
Season rates · 5v5

Tale of the tape

NHL stats API · our xG
PIT← edge
edge →SEA
51.0%46.0%
50.0%45.0%
2.662.13
2.552.51
2.451.87
2.121.95
1.0121.011

PIT holds 4 of 6 process categories — and the luck row (1.012 vs 1.011) says PIT has been getting the bounces, which tends not to last.

Source · NHL stats API + our xG · 5v5
Form · Last 10
PIT
6-2-2
+11 GD · 1d rest
SEA
5-3-2
+5 GD · 2d rest
1.012
PIT PDO
Luck gauge · drifts to 1.000
1.011
SEA PDO
Luck gauge · drifts to 1.000
What decides it

Keys to the game

Where the edges live
  • The Penguins own the underlying play — 51.0% 5v5 xG vs 46.0%.
  • The Penguins drive Corsi at 50.0% — expect territorial tilt.
Things to watch
  • The Penguins own the underlying play — 51.0% 5v5 xG vs 46.0%.
  • The Penguins drive Corsi at 50.0% — expect territorial tilt.
  • A. Silovs is on a back-to-back — watch for a backup start or a tired starter.
Last game's lineup · confirmed at warm-up

Lineups

NHL box score
PIT
Expected in goal
A. Silovs
back-to-back.885 last start
Backup Stuart Skinner · +8.3 GSAx this season
Back-to-back: the backup often gets this one. Treat the starter as unconfirmed.

No completed game on file for this club yet.

SEA
Expected in goal
P. Grubauer
2 days rest.833 last start
Backup Joey Daccord · -6.2 GSAx this season

No completed game on file for this club yet.

Lineups are the players who dressed in each club's last game, with their minutes; clubs confirm tonight's at warm-up. Every player this preview names was in that lineup.

Computed danger · scouting

Players to watch

NHL stats API · our xG
PIT
Filip Hallander0G 3A
1.28 xG/60 · 0 HD · 0.0% sh
Rickard Rakell13G 13A
1.01 xG/60 · 3 HD · 12.1% sh
SEA
Shane Wright8G 10A
0.77 xG/60 · 4 HD · 10.4% sh
Berkly Catton6G 8A
0.68 xG/60 · 5 HD · 8.8% sh
Keep going

Where to next